Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm
ABSTRACT Insulators, as a key component of the power system, their low‐value defect detection is of great significance to ensure the safe and stable operation of the power system. However, traditional detection methods have many shortcomings in the face of a complex environment and small target reco...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2025-07-01
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| Серии: | Energy Science & Engineering |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1002/ese3.70136 |
| Метки: |
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